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Alternative models

get_alternative_models
Read-onlyIdempotent

Sugere OUTROS MODELOS diferentes (outras marcas/modelos) na mesma categoria, faixa de preço e tipo de carroceria — alternativas de compra. Use para 'recomende outros modelos' / 'alternativas a este carro'. (max_results padrão 4, máx 6.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
car_idYes
max_resultsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / car_id / maximum
      Added value: +9223372036854776000
    • addedInput schema / properties / car_id / minimum
      Added value: +1
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds a genuine behavioral constraint (max_results default 4, hard cap 6), which is useful, but says nothing about what the alternatives are ranked on or what happens when no match exists in the category/price band.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the core purpose before the usage examples, and the parameter note is tucked into a parenthetical rather than bloating the prose. No wasted sentences, though the mixed-language phrasing is slightly harder to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description should hint at the return shape, but it only says 'suggest other models' without indicating whether results include names, brands, prices or similarity scores. Adequate for invocation, thin for interpreting results.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description carries the burden. It documents max_results (default 4, max 6) well, but car_id is left entirely to inference — though the name and min=1 bound make it fairly self-evident. Partial compensation only.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (suggest) and resource (other models) with explicit scope: same category, price range and body type, framed as purchase alternatives. This differentiates it reasonably from listing-oriented siblings like get_similar_active_listings, though it never names a sibling to sharpen the boundary.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives concrete trigger phrases ('recomende outros modelos' / 'alternativas a este carro'), which is strong positive routing guidance. It stops short of stating when NOT to use it, e.g. versus get_similar_active_listings or search_vehicles for broader exploration.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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